AI Data Scientist

Caliberly

Dubai

On-site

AED 420,000 - 700,000

Full time

8 days ago

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Benefits offered by this job

Competitive compensation package
Visa processing assistance
Private medical insurance
Work from home flexibility
MacBook and iPhone equipment

Job summary

Caliberly is seeking an innovative and analytical AI Data Scientist to join our team in Dubai. The role involves designing, building and deploying ML and DL models using structured and unstructured data to solve real-world problems.

You will work with cross-functional teams to deliver intelligent systems that drive value and enhance decision-making. A strong background in ML frameworks and programming is required, along with excellent communication skills.

Qualifications

  • Master's/PhD in CS/Data Science/ML/Math or related field.
  • Strong experience with ML frameworks (TF, PyTorch, scikit-learn).
  • Proficiency in Python, R or Java.
  • Experience with data visualization tools (Matplotlib/Seaborn/Plotly).
  • Proficient in SQL and data querying.
  • Solid understanding of statistics, probability and optimization.

Responsibilities

  • Design, develop and deploy ML/AI models for business problems (NLP, CV, recommendations).
  • Analyze large datasets to extract actionable insights.
  • Collaborate with data engineers and software developers to productionize models.
  • Perform EDA, feature engineering and data cleaning.
  • Continuously monitor and improve model performance.
  • Communicate results to non-technical stakeholders.
  • Stay updated with AI/ML research and advancements.

Skills

Analytical thinking
Excellent communication
Teamwork
Learning agility

Education

Master's or PhD in CS/Data Science/ML/Math

Tools

TensorFlow
PyTorch
Scikit-learn
Python
R
SQL
Docker
Kubernetes
MLflow

Job description

Job Summary:

We are seeking an innovative and analytical AI Data Scientist to join our team. The ideal candidate will design build and deploy machine learning and deep learning models to solve real-world problems using structured and unstructured data. Youll work closely with cross-functional teams to deliver intelligent systems that drive value and enhance decision‑making.

Key Responsibilities:
  • Design develop and implement advanced machine learning models and AI algorithms for business problems (e.g. NLP computer vision recommendation systems).
  • Analyze large complex datasets to extract actionable insights.
  • Collaborate with data engineers and software developers to integrate AI models into production.
  • Perform exploratory data analysis feature engineering and data cleaning.
  • Continuously monitor and improve model performance.
  • Communicate results and technical concepts to non-technical stakeholders.
  • Stay up to date with the latest research and advancements in AI and ML.
Qualifications:
Required:
  • Masters or Ph.D. in Computer Science Data Science Machine Learning Mathematics or related field.
  • Strong experience with machine learning frameworks (e.g. TensorFlow PyTorch Scikit‑learn).
  • Proficiency in programming languages such as Python R or Java.
  • Experience with data visualization tools (e.g. Matplotlib Seaborn Plotly).
  • Proficiency in SQL and data querying.
  • Solid understanding of statistics probability and optimization techniques.
Preferred:
  • Experience with cloud platforms (AWS GCP Azure).
  • Familiarity with big data tools (e.g. Spark Hadoop).
  • Publications in peer‑reviewed conferences or journals.
  • Experience deploying models using MLOps practices and tools like Docker Kubernetes or MLflow.
Soft Skills:
  • Strong analytical and problem‑solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work both independently and in a team.
  • Eagerness to learn and stay on top of AI/ML trends.
What we offer:

Competitive Compensation: Enjoy a salary package tailored to your skills and experience along with performance‑based bonuses.

Comprehensive Benefits: We support your well‑being with accommodation meal allowances and assistance with work visa processing.

Work-Life Balance: Unwind with generous holiday and New Year bonuses.

Top-Tier Equipment: Stay productive with the latest tools including a MacBook and iPhone.

Thriving Culture: Immerse yourself in a dynamic inclusive work environment that fosters growth.

Employee Support: Enjoy twice‑yearly expense reimbursements for home visits.

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